Releasing De-Identified Clinical, Imaging, and Genomic Data from the VA to External Repositories for the APOLLO Network. - Samuel Ajjarapu; Frank Meng; Danne C. Elbers; Nhan V. Do; Robert B. Hall; Karen E. Pierce-Murray; Luis E. Selva; Beth Katcher; Brett R. Johnson; Andrew J. Zimolzak; Corri DeDomenico; Mary Brophy; et al. (AMIA, 2017)

ProjectFlow: Configurable Clinical Trial Management with Enterprise Data Integration and Point-of-Care Study Support. - Ryan C. Cornia; Nilla Majahalme; Danne C. Elbers; Svitlana Dipietro; Brian R. Ivie; Brad Adams; Ramana Seerapu; Valmeek Kudesia; Scott L. DuVall (AMIA, 2017)

The Development of the Research Precision Oncology Program Data Repository (PODR) in the Veterans Affairs Healthcare System. - Nhan V. Do; Karen E. Pierce-Murray; Edmund C. Peirce; Corri DeDomenico; Frank Meng; Danne C. Elbers; Beth Katcher; Robert B. Hall; Andrew J. Zimolzak; Samuel Ajjarapu; Colleen Shannon; Sara Turek; et al. (AMIA, 2017)

Implementation of an Informatics Solution to Improve Management of Pathology Specimens for the VA Precision Oncology Program. - Danne C. Elbers; Robert B. Hall; Beth Katcher; Svitlana Dipietro; Sung Feng-Chi; Sergey Goryachev; Karen E. Pierce-Murray; Corri DeDomenico; Lauren Macmullen; Helene Garcon; Nhan V. Do; Louis D. Fiore (AMIA, 2017)

An NLP Tool for Boosting Annotation Capture from Clinical Documents. - Frank Meng; Craig A. Morioka; Weixia Yu; Nilla Majahalme; Danne C. Elbers; Sergey Goryachev; Nhan V. Do (AMIA, 2017)

Development of an AI empowered Electronic Molecular Tumor Board Application Connected Utilizing the SMART on FHIR Framework. - Nhan V. Do; J. J. Bono; Nathanael Fillmore; Andrew J. Zimolzak; Brett R. Johnson; Frank Meng; Danne C. Elbers; Robert B. Hall; Samuel Ajjarapu; Mary T. Brophy; Peter L. Elkin (AMIA, 2018)

The Implementation of the Precision Oncology Data Repository in the Veterans Affairs Healthcare System. - Danne C. Elbers; Frank Meng; Scott Doyle; Sylvester Sakilay; Sung Feng-Chi; Brett R. Johnson; Robert B. Hall; Nathanael Fillmore; Daniel Chen; Alexander D. Diehl; Samuel Ajjarapu; Karen E. Pierce-Murray; et al. (AMIA, 2018)

Workflow Pipeline for Medical Image Data Curation and Sharing. - Sylvester Sakilay; Danne C. Elbers; Scott Doyle; Luis E. Selva; Brett R. Johnson; Nhan V. Do; Peter L. Elkin (AMIA, 2019)

Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons. - Nhan V. Do; Jaime C. Ramos; Nathanael R. Fillmore; Robert L. Grossman; Michael Fitzsimons; Danne C. Elbers; Frank Meng; Brett R. Johnson; Samuel Ajjarapu; Corri L. DeDomenico; Karen E. Pierce-Murray; Robert B. Hall; et al. (MedInfo, 2019)

Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment. - Frank Meng; Craig A. Morioka; Danne C. Elbers (CoRR, 2019)

Veterans Health Administration (VHA) and National Cancer Institute (NCI) Interagency Preliminary Computable Phenotypes for the VA-NCI Interagency Clinical Trial Optimizer for Recruitment and Enrollment (VICTOR-E). - Theodore C. Feldman; Nathanael Fillmore; Sandy Chon; Shahin Assefnia; David Loose; Gisele A. Sarosy; Jennifer La; David Cheng; Frank Meng; Danielle Valley; Robert B. Hall; Paul Corcoran; et al. (AMIA, 2020)

An application to support COVID-19 occupational health and patient tracking at a Veterans Affairs medical center. - Nathanael R. Fillmore; Danne C. Elbers; Jennifer La; Theodore C. Feldman; Sung Feng-Chi; Robert B. Hall; Vinh Q. Nguyen; Nicholas B. Link; Robert Zwolinski; Svitlana Dipietro; Steven J. Miller 005; Anahit Aleksanyan; et al. (J. Am. Medical Informatics Assoc., 2020)

The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database. - Danne C. Elbers; Nathanael R. Fillmore; Sung Feng-Chi; Spyridon S. Ganas; Alexander M. Prokhorenkov; Christopher Meyer; Robert B. Hall; Samuel Ajjarapu; Daniel C. Chen; Frank Meng; Robert L. Grossman; Mary T. Brophy; et al. (Patterns, 2020)

Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance. - Joshua R. Minot; Nicholas Cheney; Marc Maier; Danne C. Elbers; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2021)

Corrigendum to: An Application to Support COVID-19 Occupational Health and Patient Tracking at a Veterans Affairs Medical Center. - Nathanael R. Fillmore; Danne C. Elbers; Jennifer La; Theodore C. Feldman; Sung Feng-Chi; Robert B. Hall; Vinh Q. Nguyen; Nicholas B. Link; Robert Zwolinski; Svitlana Dipietro; Stephen J. Miller; Anahit Aleksanyan; et al. (J. Am. Medical Informatics Assoc., 2021)

Better PROSPECT for cancer care: Supporting the generation and delivery of knowledge for decision making at tumor boards with the Precision Oncology System for Prediction, Engineering, and Clinical Translation (PROSPECT). - Austin D. Vo; Danne C. Elbers; Theodore C. Feldman; Paul A. Marcantonio; Anahit Aleksanyan; Nhan Vo; Feng-Chi Sung; Svitlana Dipietro; Arkadiy Dolgin; Rupali Dhond; Mary Brophy; Nathanael Fillmore; et al. (AMIA, 2022)

Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance. - Joshua R. Minot; Nicholas Cheney; Marc Maier; Danne C. Elbers; Christopher M. Danforth; Peter Sheridan Dodds (ACM Trans. Comput. Heal., 2022)

Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots. - Matthew Clark; Christopher Meyer; Jaime Ramos-Cejudo; Danne C. Elbers; Karen E. Pierce-Murray; Rafael Fricks; Gil Alterovitz; Luigi Rao; Mary T. Brophy; Nhan V. Do; Robert L. Grossman; Nathanael R. Fillmore (MedInfo, 2023)

Matching Patients to Accelerate Clinical Trials (MPACT): Enabling Technology for Oncology Clinical Trial Workflow. - Nhan V. Do; Danne C. Elbers; Nathanael R. Fillmore; Samuel Ajjarapu; Steven J. Bergstrom; John Bihn; June K. Corrigan; Rupali Dhond; Svitlana Dipietro; Arkadiy Dolgin; Theodore C. Feldman; Sergey D. Goryachev; et al. (MedInfo, 2023)

Building Research Infrastructure to Develop Greater Learning Efficiencies (BRIDGE). - Danne C. Elbers; Nathanael R. Fillmore; Jennifer La; Hannah M. Tosi; Samuel Ajjarapu; Rupali Dhond; Karen E. Murray; Danielle Valley; Colleen Shannon; Mary T. Brophy; Nhan V. Do (MedInfo, 2023)

Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes. - Eric Lin; Robert Zwolinski; Julie Tsu-Yu Wu; Jennifer La; Sergey Goryachev; Linden B. Huhmann; Cenk Yildirim; David P. Tuck; Danne C. Elbers; Mary T. Brophy; Nhan V. Do; Nathanael R. Fillmore (Health Informatics J., 2023)

Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals. - Aruna Mohan; Danne C. Elbers; Or Zilbershot; Fatemeh Afghah; David Vorchheimer (EMBC, 2024)

Ten Pillars for Data Meshes. - Robert L. Grossman; Ceilyn Boyd; Nhan V. Do; Danne C. Elbers; Michael Sean Fitzsimons; Maryellen L. Giger; Anthony Juehne; Brienna Larrick; Jerry S. H. Lee; Dawei Lin; Michael Lukowski; James D. Myers; et al. (CoRR, 2024)

Effectiveness of electronic medical record-based strategies for death and hospital admission endpoint capture in pragmatic clinical trials. - Maryam Rahafrooz; Danne C. Elbers; Jay R. Gopal; Junling Ren; Nathan H. Chan; Cenk Yildirim; Akshay S. Desai; Abigail A. Santos; Karen Murray; Thomas Havighurst; Jacob A. Udell; Michael E. Farkouh; et al. (J. Am. Medical Informatics Assoc., 2025)